@semar:
Another option here is to create pseudo-Sin functions from a McLaurin-Taylor expansion series. Normally this is summed to an infinite number of terms, but can be reasonably approximated with only 5 - 10 terms, depending on the accuracy required...
This involves calcualtions of powers and of factorials (big hits on processor) but that makes them perfect for storing in a lookup table rather than constant calculation. And since you are controlling the accuracy by choosing the number of terms I would assume they will be constant across processors {unless the power calculations for floats give different answers :-( }
Another option here is to create pseudo-Sin functions from a McLaurin-Taylor expansion series. Normally this is summed to an infinite number of terms, but can be reasonably approximated with only 5 - 10 terms, depending on the accuracy required...
This involves calcualtions of powers and of factorials (big hits on processor) but that makes them perfect for storing in a lookup table rather than constant calculation. And since you are controlling the accuracy by choosing the number of terms I would assume they will be constant across processors {unless the power calculations for floats give different answers :-( }